Jim Briggs
Overview
Explore the profile of Jim Briggs including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
20
Citations
562
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Kutrani H, Briggs J, Prytherch D, Spice C
PLoS One
. 2025 Jan;
20(1):e0317234.
PMID: 39847554
Background: Hospital Frailty Risk Score (HFRS) has recently been used to predict adverse health outcomes including length of stay (LOS) in hospital. LOS is an important indicator for patient quality...
2.
Briggs J, Kostakis I, Meredith P, DallOra C, Darbyshire J, Gerry S, et al.
Health Soc Care Deliv Res
. 2024 Mar;
12(6):1-143.
PMID: 38551079
Background: The frequency at which patients should have their vital signs (e.g. blood pressure, pulse, oxygen saturation) measured on hospital wards is currently unknown. Current National Health Service monitoring protocols...
3.
Price C, Prytherch D, Kostakis I, Briggs J
Resuscitation
. 2023 Nov;
193:110032.
PMID: 37931891
Background: The National Early Warning Score (NEWS) is used in hospitals across the UK to detect deterioration of patients within care pathways. It is used for most patients, but there...
4.
DallOra C, Griffiths P, Hope J, Briggs J, Jeremy J, Gerry S, et al.
Int J Nurs Stud
. 2021 Apr;
118:103921.
PMID: 33812297
Introduction: Monitoring vital signs in hospital is an important part of safe patient care. However, there are no robust estimates of the workload it generates for nursing staff. This makes...
5.
Pimentel M, Redfern O, Malycha J, Meredith P, Prytherch D, Briggs J, et al.
Am J Respir Crit Care Med
. 2021 Feb;
204(1):44-52.
PMID: 33525997
Late recognition of patient deterioration in hospital is associated with worse outcomes, including higher mortality. Despite the widespread introduction of early warning score (EWS) systems and electronic health records, deterioration...
6.
Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D, Meredith P, et al.
BMJ Open
. 2019 Nov;
9(11):e033301.
PMID: 31748313
Objectives: Early warning scores (EWS) alerting for in-hospital deterioration are commonly developed using routinely collected vital-sign data from the whole in-hospital population. As these in-hospital populations are dominated by those...
7.
Awad A, Bader-El-Den M, McNicholas J, Briggs J, El-Sonbaty Y
Health Informatics J
. 2019 Jul;
26(2):1043-1059.
PMID: 31347428
Current mortality prediction models and scoring systems for intensive care unit patients are generally usable only after at least 24 or 48 h of admission, as some parameters are unclear...
8.
Griffiths P, Maruotti A, Recio Saucedo A, Redfern O, Ball J, Briggs J, et al.
BMJ Qual Saf
. 2018 Dec;
28(8):609-617.
PMID: 30514780
Objective: To determine the association between daily levels of registered nurse (RN) and nursing assistant staffing and hospital mortality. Design: This is a retrospective longitudinal observational study using routinely collected...
9.
Griffiths P, Recio-Saucedo A, DallOra C, Briggs J, Maruotti A, Meredith P, et al.
J Adv Nurs
. 2018 Mar;
74(7):1474-1487.
PMID: 29517813
Aims: To identify nursing care most frequently missed in acute adult inpatient wards and to determine evidence for the association of missed care with nurse staffing. Background: Research has established...
10.
Awad A, Bader-El-Den M, McNicholas J, Briggs J
Int J Med Inform
. 2017 Nov;
108:185-195.
PMID: 29132626
Background: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting...